Overview

Dataset statistics

Number of variables23
Number of observations4056
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory728.9 KiB
Average record size in memory184.0 B

Variable types

Numeric23

Alerts

Work is highly overall correlated with AgeHigh correlation
DM is highly overall correlated with DM_TypeHigh correlation
DM_Type is highly overall correlated with DMHigh correlation
Age is highly overall correlated with Work and 1 other fieldsHigh correlation
Year_DM_Diagnosed is highly overall correlated with DM_DurationHigh correlation
DM_Duration is highly overall correlated with Year_DM_DiagnosedHigh correlation
Waist is highly overall correlated with BMIHigh correlation
BMI is highly overall correlated with WaistHigh correlation
Creatinine_Clearance is highly overall correlated with AgeHigh correlation
Gender has 1362 (33.6%) zerosZeros
Education has 969 (23.9%) zerosZeros
Work has 2923 (72.1%) zerosZeros
Cardiac_Arrest_Admission has 3973 (98.0%) zerosZeros
Non_Cardiac_Condition has 3942 (97.2%) zerosZeros
Hypertension has 1432 (35.3%) zerosZeros
Dyslipidemia has 1766 (43.5%) zerosZeros
DM has 1883 (46.4%) zerosZeros
DM_Type has 1867 (46.0%) zerosZeros
DM_Treatment has 103 (2.5%) zerosZeros
Smoking_History has 982 (24.2%) zerosZeros
Lipid_24_Collected has 599 (14.8%) zerosZeros

Reproduction

Analysis started2023-03-31 14:28:33.680043
Analysis finished2023-03-31 14:30:39.463409
Duration2 minutes and 5.78 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66420118
Minimum0
Maximum1
Zeros1362
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:39.524404image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47232719
Coefficient of variation (CV)0.71112067
Kurtosis-1.5168488
Mean0.66420118
Median Absolute Deviation (MAD)0
Skewness-0.69562877
Sum2694
Variance0.22309297
MonotonicityNot monotonic
2023-03-31T14:30:39.658844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2694
66.4%
0 1362
33.6%
ValueCountFrequency (%)
0 1362
33.6%
1 2694
66.4%
ValueCountFrequency (%)
1 2694
66.4%
0 1362
33.6%

Education
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9164201
Minimum0
Maximum5
Zeros969
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:39.794997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4234834
Coefficient of variation (CV)0.74278252
Kurtosis-0.57701972
Mean1.9164201
Median Absolute Deviation (MAD)1
Skewness0.31783119
Sum7773
Variance2.0263049
MonotonicityNot monotonic
2023-03-31T14:30:39.926345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1965
48.4%
0 969
23.9%
4 645
 
15.9%
1 248
 
6.1%
5 164
 
4.0%
3 65
 
1.6%
ValueCountFrequency (%)
0 969
23.9%
1 248
 
6.1%
2 1965
48.4%
3 65
 
1.6%
4 645
 
15.9%
5 164
 
4.0%
ValueCountFrequency (%)
5 164
 
4.0%
4 645
 
15.9%
3 65
 
1.6%
2 1965
48.4%
1 248
 
6.1%
0 969
23.9%

Work
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31385602
Minimum0
Maximum2
Zeros2923
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:40.085757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53334237
Coefficient of variation (CV)1.6993218
Kurtosis1.2102412
Mean0.31385602
Median Absolute Deviation (MAD)0
Skewness1.4661896
Sum1273
Variance0.28445408
MonotonicityNot monotonic
2023-03-31T14:30:40.223687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 2923
72.1%
1 993
 
24.5%
2 140
 
3.5%
ValueCountFrequency (%)
0 2923
72.1%
1 993
 
24.5%
2 140
 
3.5%
ValueCountFrequency (%)
2 140
 
3.5%
1 993
 
24.5%
0 2923
72.1%

Cardiac_Arrest_Admission
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022928994
Minimum0
Maximum2
Zeros3973
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:40.393887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16535103
Coefficient of variation (CV)7.2114384
Kurtosis69.458635
Mean0.022928994
Median Absolute Deviation (MAD)0
Skewness7.9312666
Sum93
Variance0.027340963
MonotonicityNot monotonic
2023-03-31T14:30:40.625503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3973
98.0%
1 73
 
1.8%
2 10
 
0.2%
ValueCountFrequency (%)
0 3973
98.0%
1 73
 
1.8%
2 10
 
0.2%
ValueCountFrequency (%)
2 10
 
0.2%
1 73
 
1.8%
0 3973
98.0%

Non_Cardiac_Condition
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028106509
Minimum0
Maximum1
Zeros3942
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:40.768795image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16529752
Coefficient of variation (CV)5.8811117
Kurtosis30.647113
Mean0.028106509
Median Absolute Deviation (MAD)0
Skewness5.7124426
Sum114
Variance0.02732327
MonotonicityNot monotonic
2023-03-31T14:30:40.907927image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 3942
97.2%
1 114
 
2.8%
ValueCountFrequency (%)
0 3942
97.2%
1 114
 
2.8%
ValueCountFrequency (%)
1 114
 
2.8%
0 3942
97.2%

Hypertension
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6469428
Minimum0
Maximum1
Zeros1432
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:41.038417image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47797923
Coefficient of variation (CV)0.73882765
Kurtosis-1.6223864
Mean0.6469428
Median Absolute Deviation (MAD)0
Skewness-0.61515349
Sum2624
Variance0.22846414
MonotonicityNot monotonic
2023-03-31T14:30:41.157615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2624
64.7%
0 1432
35.3%
ValueCountFrequency (%)
0 1432
35.3%
1 2624
64.7%
ValueCountFrequency (%)
1 2624
64.7%
0 1432
35.3%

Dyslipidemia
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56459566
Minimum0
Maximum1
Zeros1766
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:41.327680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49587098
Coefficient of variation (CV)0.87827628
Kurtosis-1.9330084
Mean0.56459566
Median Absolute Deviation (MAD)0
Skewness-0.26066268
Sum2290
Variance0.24588802
MonotonicityNot monotonic
2023-03-31T14:30:41.484514image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2290
56.5%
0 1766
43.5%
ValueCountFrequency (%)
0 1766
43.5%
1 2290
56.5%
ValueCountFrequency (%)
1 2290
56.5%
0 1766
43.5%

DM
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.071499
Minimum0
Maximum2
Zeros1883
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:41.636256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99756365
Coefficient of variation (CV)0.9309982
Kurtosis-1.9804081
Mean1.071499
Median Absolute Deviation (MAD)0
Skewness-0.14341799
Sum4346
Variance0.99513324
MonotonicityNot monotonic
2023-03-31T14:30:41.763558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2173
53.6%
0 1883
46.4%
ValueCountFrequency (%)
0 1883
46.4%
2 2173
53.6%
ValueCountFrequency (%)
2 2173
53.6%
0 1883
46.4%

DM_Type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0729783
Minimum0
Maximum2
Zeros1867
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:41.914284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99423721
Coefficient of variation (CV)0.92661446
Kurtosis-1.9730146
Mean1.0729783
Median Absolute Deviation (MAD)0
Skewness-0.14639868
Sum4352
Variance0.98850763
MonotonicityNot monotonic
2023-03-31T14:30:42.059880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2163
53.3%
0 1867
46.0%
1 26
 
0.6%
ValueCountFrequency (%)
0 1867
46.0%
1 26
 
0.6%
2 2163
53.3%
ValueCountFrequency (%)
2 2163
53.3%
1 26
 
0.6%
0 1867
46.0%

DM_Treatment
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3454142
Minimum0
Maximum9
Zeros103
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:42.255110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q15
median7
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0141959
Coefficient of variation (CV)0.31742544
Kurtosis1.6499285
Mean6.3454142
Median Absolute Deviation (MAD)1
Skewness-1.4698797
Sum25737
Variance4.0569851
MonotonicityNot monotonic
2023-03-31T14:30:42.451949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 1868
46.1%
8 896
22.1%
5 489
 
12.1%
3 338
 
8.3%
9 164
 
4.0%
0 103
 
2.5%
1 100
 
2.5%
4 63
 
1.6%
6 34
 
0.8%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 103
 
2.5%
1 100
 
2.5%
2 1
 
< 0.1%
3 338
 
8.3%
4 63
 
1.6%
5 489
 
12.1%
6 34
 
0.8%
7 1868
46.1%
8 896
22.1%
9 164
 
4.0%
ValueCountFrequency (%)
9 164
 
4.0%
8 896
22.1%
7 1868
46.1%
6 34
 
0.8%
5 489
 
12.1%
4 63
 
1.6%
3 338
 
8.3%
2 1
 
< 0.1%
1 100
 
2.5%
0 103
 
2.5%

Smoking_History
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.92973373
Minimum0
Maximum4
Zeros982
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:42.673489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67269708
Coefficient of variation (CV)0.72353735
Kurtosis0.70240273
Mean0.92973373
Median Absolute Deviation (MAD)0
Skewness0.51647871
Sum3771
Variance0.45252136
MonotonicityNot monotonic
2023-03-31T14:30:42.850884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2464
60.7%
0 982
 
24.2%
2 524
 
12.9%
3 85
 
2.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 982
 
24.2%
1 2464
60.7%
2 524
 
12.9%
3 85
 
2.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 85
 
2.1%
2 524
 
12.9%
1 2464
60.7%
0 982
 
24.2%

Lipid_24_Collected
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85281065
Minimum0
Maximum2
Zeros599
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:43.079498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35572748
Coefficient of variation (CV)0.41712363
Kurtosis1.9629583
Mean0.85281065
Median Absolute Deviation (MAD)0
Skewness-1.9594277
Sum3459
Variance0.12654204
MonotonicityNot monotonic
2023-03-31T14:30:43.314496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3455
85.2%
0 599
 
14.8%
2 2
 
< 0.1%
ValueCountFrequency (%)
0 599
 
14.8%
1 3455
85.2%
2 2
 
< 0.1%
ValueCountFrequency (%)
2 2
 
< 0.1%
1 3455
85.2%
0 599
 
14.8%

Age
Real number (ℝ)

Distinct79
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.358974
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:43.548988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile40
Q152
median60
Q369
95-th percentile81
Maximum112
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.726133
Coefficient of variation (CV)0.21084078
Kurtosis-0.11991294
Mean60.358974
Median Absolute Deviation (MAD)9
Skewness0.0030300895
Sum244816
Variance161.95446
MonotonicityNot monotonic
2023-03-31T14:30:43.826950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 148
 
3.6%
72 138
 
3.4%
57 132
 
3.3%
60 132
 
3.3%
67 121
 
3.0%
59 119
 
2.9%
52 117
 
2.9%
56 114
 
2.8%
64 112
 
2.8%
70 111
 
2.7%
Other values (69) 2812
69.3%
ValueCountFrequency (%)
18 1
 
< 0.1%
23 1
 
< 0.1%
24 3
0.1%
25 6
0.1%
26 5
0.1%
27 4
0.1%
28 5
0.1%
29 5
0.1%
30 5
0.1%
31 7
0.2%
ValueCountFrequency (%)
112 1
 
< 0.1%
102 1
 
< 0.1%
99 5
0.1%
97 2
 
< 0.1%
96 1
 
< 0.1%
95 3
0.1%
94 6
0.1%
93 6
0.1%
92 6
0.1%
91 3
0.1%

Year_DM_Diagnosed
Real number (ℝ)

Distinct133
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2000.9654
Minimum1967
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:44.087571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1967
5-th percentile1988
Q11997.2
median2002
Q32005.8
95-th percentile2010
Maximum2013
Range46
Interquartile range (IQR)8.6

Descriptive statistics

Standard deviation6.5356331
Coefficient of variation (CV)0.00326624
Kurtosis1.5028169
Mean2000.9654
Median Absolute Deviation (MAD)4
Skewness-1.0269146
Sum8115915.6
Variance42.714501
MonotonicityNot monotonic
2023-03-31T14:30:44.455118image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002 321
 
7.9%
2007 193
 
4.8%
1997 165
 
4.1%
1992 156
 
3.8%
2000 143
 
3.5%
2003 137
 
3.4%
2006 132
 
3.3%
2008 122
 
3.0%
2005 104
 
2.6%
2004 95
 
2.3%
Other values (123) 2488
61.3%
ValueCountFrequency (%)
1967 1
 
< 0.1%
1970 1
 
< 0.1%
1972 2
 
< 0.1%
1973 3
 
0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
1977 8
0.2%
1978 1
 
< 0.1%
1979 3
 
0.1%
ValueCountFrequency (%)
2013 1
 
< 0.1%
2012 60
1.5%
2011 81
2.0%
2010.8 1
 
< 0.1%
2010.6 1
 
< 0.1%
2010.4 1
 
< 0.1%
2010 87
2.1%
2009.8 1
 
< 0.1%
2009.6 4
 
0.1%
2009.4 3
 
0.1%

DM_Duration
Real number (ℝ)

Distinct130
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.315237
Minimum0
Maximum45
Zeros30
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:44.711895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.15
Q17
median10
Q315
95-th percentile24
Maximum45
Range45
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.4572168
Coefficient of variation (CV)0.57066565
Kurtosis1.6097509
Mean11.315237
Median Absolute Deviation (MAD)4
Skewness1.0459655
Sum45894.6
Variance41.695649
MonotonicityNot monotonic
2023-03-31T14:30:44.955235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 377
 
9.3%
20 203
 
5.0%
5 199
 
4.9%
15 198
 
4.9%
12 143
 
3.5%
6 138
 
3.4%
7 136
 
3.4%
8 120
 
3.0%
4 95
 
2.3%
2 88
 
2.2%
Other values (120) 2359
58.2%
ValueCountFrequency (%)
0 30
 
0.7%
1 83
2.0%
1.6 1
 
< 0.1%
1.8 1
 
< 0.1%
2 88
2.2%
2.2 1
 
< 0.1%
2.6 2
 
< 0.1%
2.8 2
 
< 0.1%
3 79
1.9%
3.2 1
 
< 0.1%
ValueCountFrequency (%)
45 1
 
< 0.1%
42 1
 
< 0.1%
40 5
 
0.1%
38 1
 
< 0.1%
37 2
 
< 0.1%
36 1
 
< 0.1%
35 7
0.2%
34 1
 
< 0.1%
33 9
0.2%
32 16
0.4%

Heart_Rate
Real number (ℝ)

Distinct140
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.19359
Minimum0
Maximum222
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:45.202443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q171
median82
Q396
95-th percentile120
Maximum222
Range222
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.050612
Coefficient of variation (CV)0.2470915
Kurtosis3.2586471
Mean85.19359
Median Absolute Deviation (MAD)12
Skewness1.0288588
Sum345545.2
Variance443.12824
MonotonicityNot monotonic
2023-03-31T14:30:45.404688image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 299
 
7.4%
90 203
 
5.0%
70 202
 
5.0%
100 151
 
3.7%
78 136
 
3.4%
88 126
 
3.1%
75 118
 
2.9%
72 105
 
2.6%
85 101
 
2.5%
76 88
 
2.2%
Other values (130) 2527
62.3%
ValueCountFrequency (%)
0 5
0.1%
25 2
 
< 0.1%
27 1
 
< 0.1%
30 3
 
0.1%
34 2
 
< 0.1%
35 3
 
0.1%
36 2
 
< 0.1%
38 5
0.1%
40 11
0.3%
42 4
 
0.1%
ValueCountFrequency (%)
222 1
 
< 0.1%
220 1
 
< 0.1%
200 2
< 0.1%
187 1
 
< 0.1%
180 4
0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%
172 2
< 0.1%
170 3
0.1%
168 3
0.1%

Waist
Real number (ℝ)

Distinct174
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.529882
Minimum25
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:45.691324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile72
Q188
median98
Q3109
95-th percentile124.25
Maximum194
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.32409
Coefficient of variation (CV)0.17762853
Kurtosis2.3531177
Mean97.529882
Median Absolute Deviation (MAD)10
Skewness-0.34244719
Sum395581.2
Variance300.12409
MonotonicityNot monotonic
2023-03-31T14:30:45.927781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 225
 
5.5%
100 171
 
4.2%
85 158
 
3.9%
110 151
 
3.7%
98 146
 
3.6%
105 134
 
3.3%
80 128
 
3.2%
95 124
 
3.1%
88 123
 
3.0%
102 111
 
2.7%
Other values (164) 2585
63.7%
ValueCountFrequency (%)
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
30 2
 
< 0.1%
32 9
0.2%
33 4
0.1%
34 5
0.1%
35 1
 
< 0.1%
36 8
0.2%
37 1
 
< 0.1%
ValueCountFrequency (%)
194 1
 
< 0.1%
191 2
 
< 0.1%
165 1
 
< 0.1%
160 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
150 4
0.1%
148 5
0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
Distinct1294
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4273447
Minimum0.33
Maximum17.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:46.188086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.3
Q15.6275
median6.9
Q38.7
95-th percentile12.8725
Maximum17.8
Range17.47
Interquartile range (IQR)3.0725

Descriptive statistics

Standard deviation2.7044444
Coefficient of variation (CV)0.36411996
Kurtosis1.6553148
Mean7.4273447
Median Absolute Deviation (MAD)1.4
Skewness0.95343464
Sum30125.31
Variance7.3140196
MonotonicityNot monotonic
2023-03-31T14:30:46.433109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 81
 
2.0%
5.2 77
 
1.9%
5.6 69
 
1.7%
5 68
 
1.7%
4.8 55
 
1.4%
6.2 55
 
1.4%
5.4 55
 
1.4%
5.8 54
 
1.3%
5.5 53
 
1.3%
7 50
 
1.2%
Other values (1284) 3439
84.8%
ValueCountFrequency (%)
0.33 1
< 0.1%
0.38 1
< 0.1%
0.46 1
< 0.1%
0.47 1
< 0.1%
0.58 1
< 0.1%
0.61 1
< 0.1%
0.71 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
1 1
< 0.1%
ValueCountFrequency (%)
17.8 1
 
< 0.1%
17.7 2
 
< 0.1%
17.62 1
 
< 0.1%
17.6 1
 
< 0.1%
17.4 2
 
< 0.1%
17.3 3
 
0.1%
17.2 3
 
0.1%
17.17 1
 
< 0.1%
17.07 1
 
< 0.1%
17 8
0.2%

HbA1C_Admission_Value
Real number (ℝ)

Distinct1198
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4619724
Minimum3.2
Maximum88.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:46.680429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile5.1
Q16
median7.02
Q38.4
95-th percentile11.3
Maximum88.4
Range85.2
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation2.3342095
Coefficient of variation (CV)0.31281401
Kurtosis356.86997
Mean7.4619724
Median Absolute Deviation (MAD)1.1
Skewness11.024615
Sum30265.76
Variance5.448534
MonotonicityNot monotonic
2023-03-31T14:30:46.904791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 148
 
3.6%
5.9 74
 
1.8%
5.7 70
 
1.7%
5.8 67
 
1.7%
5.6 57
 
1.4%
7 57
 
1.4%
5.5 54
 
1.3%
5.3 54
 
1.3%
6.2 54
 
1.3%
6.6 52
 
1.3%
Other values (1188) 3369
83.1%
ValueCountFrequency (%)
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
3.9 12
0.3%
4 23
0.6%
4.01 1
 
< 0.1%
4.1 4
 
0.1%
4.16 2
 
< 0.1%
ValueCountFrequency (%)
88.4 1
< 0.1%
22.73 1
< 0.1%
20 1
< 0.1%
17.5 1
< 0.1%
16.6 1
< 0.1%
16 2
< 0.1%
15.8 1
< 0.1%
15.7 2
< 0.1%
15.4 1
< 0.1%
15.3 1
< 0.1%
Distinct808
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7331238
Minimum0.07
Maximum15.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:47.127807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.8975
Q13.8485
median4.617
Q35.5
95-th percentile6.93
Maximum15.7
Range15.63
Interquartile range (IQR)1.6515

Descriptive statistics

Standard deviation1.315028
Coefficient of variation (CV)0.27783511
Kurtosis3.3027739
Mean4.7331238
Median Absolute Deviation (MAD)0.817
Skewness0.80267499
Sum19197.55
Variance1.7292985
MonotonicityNot monotonic
2023-03-31T14:30:47.345541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 82
 
2.0%
4.5 80
 
2.0%
4.6 74
 
1.8%
5.2 74
 
1.8%
4.2 73
 
1.8%
5.6 70
 
1.7%
4.9 69
 
1.7%
4.1 68
 
1.7%
4 66
 
1.6%
4.8 65
 
1.6%
Other values (798) 3335
82.2%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 3
0.1%
0.1 2
< 0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 2
< 0.1%
0.18 1
 
< 0.1%
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
15.7 1
< 0.1%
13.74 1
< 0.1%
12.65 1
< 0.1%
11.8 2
< 0.1%
11.36 1
< 0.1%
11.29 1
< 0.1%
10.97 1
< 0.1%
10.12 1
< 0.1%
10 1
< 0.1%
9.91 1
< 0.1%
Distinct715
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6459901
Minimum0.01
Maximum17.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:47.605195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.6
Q11
median1.4
Q31.99
95-th percentile3.5
Maximum17.6
Range17.59
Interquartile range (IQR)0.99

Descriptive statistics

Standard deviation1.1153169
Coefficient of variation (CV)0.67759633
Kurtosis34.015612
Mean1.6459901
Median Absolute Deviation (MAD)0.486
Skewness4.0116748
Sum6676.136
Variance1.2439317
MonotonicityNot monotonic
2023-03-31T14:30:47.921923image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
2.7%
1.1 107
 
2.6%
1.2 107
 
2.6%
1.3 103
 
2.5%
0.8 100
 
2.5%
0.9 98
 
2.4%
1.5 98
 
2.4%
1.4 92
 
2.3%
1.6 91
 
2.2%
1.8 80
 
2.0%
Other values (705) 3072
75.7%
ValueCountFrequency (%)
0.01 6
0.1%
0.02 3
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.25 1
 
< 0.1%
ValueCountFrequency (%)
17.6 1
< 0.1%
17.4 1
< 0.1%
14.55 1
< 0.1%
11.56 1
< 0.1%
11.01 1
< 0.1%
10.59 1
< 0.1%
9.72 1
< 0.1%
9.14 1
< 0.1%
9 1
< 0.1%
8.88 1
< 0.1%

BMI
Real number (ℝ)

Distinct1237
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.815479
Minimum13.34
Maximum96.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:48.185031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.34
5-th percentile21.5
Q124.92
median27.76
Q331.535
95-th percentile39.4425
Maximum96.88
Range83.54
Interquartile range (IQR)6.615

Descriptive statistics

Standard deviation5.893122
Coefficient of variation (CV)0.20451237
Kurtosis7.8891197
Mean28.815479
Median Absolute Deviation (MAD)3.25
Skewness1.6780273
Sum116875.58
Variance34.728887
MonotonicityNot monotonic
2023-03-31T14:30:48.379515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.71 40
 
1.0%
27.68 38
 
0.9%
24.22 36
 
0.9%
29.41 30
 
0.7%
29.76 28
 
0.7%
31.25 27
 
0.7%
27.34 27
 
0.7%
25.95 26
 
0.6%
31.22 25
 
0.6%
28.73 23
 
0.6%
Other values (1227) 3756
92.6%
ValueCountFrequency (%)
13.34 1
< 0.1%
14.84 1
< 0.1%
15.78 1
< 0.1%
16.42 2
< 0.1%
16.44 1
< 0.1%
16.77 1
< 0.1%
16.82 2
< 0.1%
16.9 1
< 0.1%
17.04 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
96.88 1
< 0.1%
69.25 1
< 0.1%
66.33 1
< 0.1%
65.38 1
< 0.1%
65.02 1
< 0.1%
63.57 1
< 0.1%
61.33 1
< 0.1%
57.78 1
< 0.1%
57.19 1
< 0.1%
57.16 1
< 0.1%

Creatinine_Clearance
Real number (ℝ)

Distinct3491
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.323417
Minimum5.21
Maximum1164.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:30:48.581480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.21
5-th percentile25.7575
Q157.1
median82.65
Q3110.97
95-th percentile167.3125
Maximum1164.7
Range1159.49
Interquartile range (IQR)53.87

Descriptive statistics

Standard deviation52.978891
Coefficient of variation (CV)0.59982837
Kurtosis101.59834
Mean88.323417
Median Absolute Deviation (MAD)26.92
Skewness6.1270447
Sum358239.78
Variance2806.7629
MonotonicityNot monotonic
2023-03-31T14:30:48.845698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.2 6
 
0.1%
86.1 6
 
0.1%
79.9 4
 
0.1%
110.7 4
 
0.1%
67.65 4
 
0.1%
76.16 4
 
0.1%
97.17 4
 
0.1%
76.26 4
 
0.1%
57.6 3
 
0.1%
30.55 3
 
0.1%
Other values (3481) 4014
99.0%
ValueCountFrequency (%)
5.21 1
< 0.1%
5.24 1
< 0.1%
5.57 1
< 0.1%
5.7 1
< 0.1%
5.98 1
< 0.1%
6.18 1
< 0.1%
6.23 1
< 0.1%
6.29 1
< 0.1%
6.33 1
< 0.1%
6.39 1
< 0.1%
ValueCountFrequency (%)
1164.7 1
< 0.1%
1153.62 1
< 0.1%
875.43 1
< 0.1%
684.96 1
< 0.1%
626.18 1
< 0.1%
500.2 1
< 0.1%
460.63 1
< 0.1%
363.73 1
< 0.1%
321.8 1
< 0.1%
298.68 1
< 0.1%

Interactions

2023-03-31T14:30:32.280707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:34.513879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:39.309034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:44.983141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:50.338612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:55.968387image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:01.375505image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:06.087879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:11.524312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:16.532778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:24.303844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:28.613600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:36.372901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:42.420859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:46.264113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:51.068619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:56.317542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:02.451999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:06.920546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:11.450364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:15.990168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:21.224740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:25.798155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:32.587876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:34.721509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:39.477627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:45.160161image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:50.587487image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:56.204458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:01.578790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:06.314684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:11.697506image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:16.844622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:24.454257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:28.799468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:36.901538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:42.599276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:46.415844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:51.297743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:56.511910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-31T14:28:49.340907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:54.944983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:00.510990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:05.326008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:10.437521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:15.529555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:23.443029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:27.648347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:34.910935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:41.651299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:45.571377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:49.828467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:55.553411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:01.298547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:06.078030image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:10.695850image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:15.059668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:20.453175image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:25.056219image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:31.305263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:37.686830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:38.701078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:44.424659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:49.616483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:55.237685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:00.742072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:05.516114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:10.817360image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:15.776166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:23.761278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:27.849013image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:35.320929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:41.845036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:45.793644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:50.223359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:55.755228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:01.565999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:06.274019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:10.867783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:15.285603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:20.650507image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:25.257093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:31.547910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:37.931580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:38.921629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:44.603642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:49.867132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:55.500477image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:00.952602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:05.697848image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:11.070076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:16.030334image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:23.962624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:28.177481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:35.678844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:42.036287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:45.976300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:50.582747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:56.008748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:01.939662image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:06.443577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:11.053267image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:15.520892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:20.837066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:25.433506image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:31.802536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:38.136344image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:39.150062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:44.756282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:50.067787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:28:55.733330image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:01.171492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:05.841705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:11.282496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:16.290751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:24.128834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:28.449034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:35.974084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:42.209072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:46.117598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:50.853802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:29:56.168768image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:02.187129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:06.740174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:11.196447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:15.739833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:20.985770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:25.603690image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:30:31.986496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-03-31T14:30:49.082590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
GenderEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMDM_TypeDM_TreatmentSmoking_HistoryLipid_24_CollectedAgeYear_DM_DiagnosedDM_DurationHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsHbA1C_Admission_ValueCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
Gender1.000-0.0070.3790.014-0.009-0.208-0.122-0.164-0.1610.047-0.1460.067-0.1580.107-0.107-0.130-0.034-0.088-0.0970.0030.002-0.1690.107
Education-0.0071.0000.050-0.0190.007-0.009-0.039-0.005-0.004-0.027-0.0220.004-0.0330.001-0.0030.0070.004-0.028-0.0030.019-0.0210.0310.033
Work0.3790.0501.000-0.005-0.069-0.242-0.120-0.167-0.1720.026-0.1840.056-0.5410.266-0.266-0.0620.022-0.075-0.0750.1260.1420.0540.405
Cardiac_Arrest_Admission0.014-0.019-0.0051.0000.081-0.006-0.031-0.002-0.0040.025-0.034-0.038-0.002-0.0240.0230.054-0.0280.0320.021-0.0010.001-0.017-0.045
Non_Cardiac_Condition-0.0090.007-0.0690.0811.0000.0570.0140.0420.042-0.0030.029-0.0340.095-0.0690.0710.114-0.0200.0180.017-0.054-0.025-0.023-0.171
Hypertension-0.208-0.009-0.242-0.0060.0571.0000.3950.3340.329-0.0380.145-0.0080.258-0.1440.1430.0990.0870.1170.142-0.1310.0080.108-0.228
Dyslipidemia-0.122-0.039-0.120-0.0310.0140.3951.0000.3270.323-0.0670.1100.0150.118-0.0700.0740.0220.0830.1110.152-0.0740.0790.096-0.098
DM-0.164-0.005-0.167-0.0020.0420.3340.3271.0000.988-0.0260.102-0.0230.123-0.0350.0300.1150.1100.3610.477-0.1130.1000.136-0.102
DM_Type-0.161-0.004-0.172-0.0040.0420.3290.3230.9881.000-0.0220.103-0.0210.133-0.0270.0230.1090.1080.3600.474-0.1150.0950.134-0.109
DM_Treatment0.047-0.0270.0260.025-0.003-0.038-0.067-0.026-0.0221.000-0.025-0.0130.0010.026-0.032-0.003-0.106-0.011-0.059-0.011-0.004-0.0290.004
Smoking_History-0.146-0.022-0.184-0.0340.0290.1450.1100.1020.103-0.0251.000-0.0050.260-0.1140.1140.022-0.0340.0360.067-0.087-0.089-0.003-0.201
Lipid_24_Collected0.0670.0040.056-0.038-0.034-0.0080.015-0.023-0.021-0.013-0.0051.000-0.0790.083-0.083-0.0430.038-0.018-0.0270.034-0.004-0.0170.060
Age-0.158-0.033-0.541-0.0020.0950.2580.1180.1230.1330.0010.260-0.0791.000-0.4360.4350.041-0.1040.0520.014-0.183-0.238-0.154-0.643
Year_DM_Diagnosed0.1070.0010.266-0.024-0.069-0.144-0.070-0.035-0.0270.026-0.1140.083-0.4361.000-0.995-0.1010.004-0.058-0.0750.1640.100-0.0480.312
DM_Duration-0.107-0.003-0.2660.0230.0710.1430.0740.0300.023-0.0320.114-0.0830.435-0.9951.0000.098-0.0010.0570.070-0.165-0.1010.045-0.314
Heart_Rate-0.1300.007-0.0620.0540.1140.0990.0220.1150.109-0.0030.022-0.0430.041-0.1010.0981.000-0.0090.1210.1530.017-0.0020.047-0.063
Waist-0.0340.0040.022-0.028-0.0200.0870.0830.1100.108-0.106-0.0340.038-0.1040.004-0.001-0.0091.0000.0940.094-0.0060.1280.5130.263
Fasting_Blood_Glucose_Value_SI_Units-0.088-0.028-0.0750.0320.0180.1170.1110.3610.360-0.0110.036-0.0180.052-0.0580.0570.1210.0941.0000.3940.0220.0960.108-0.011
HbA1C_Admission_Value-0.097-0.003-0.0750.0210.0170.1420.1520.4770.474-0.0590.067-0.0270.014-0.0750.0700.1530.0940.3941.0000.0040.1390.1280.007
Cholesterol_Value_SI_Units0.0030.0190.126-0.001-0.054-0.131-0.074-0.113-0.115-0.011-0.0870.034-0.1830.164-0.1650.017-0.0060.0220.0041.0000.3860.0320.150
Triglycerides_Value_SI_Units0.002-0.0210.1420.001-0.0250.0080.0790.1000.095-0.004-0.089-0.004-0.2380.100-0.101-0.0020.1280.0960.1390.3861.0000.1550.161
BMI-0.1690.0310.054-0.017-0.0230.1080.0960.1360.134-0.029-0.003-0.017-0.154-0.0480.0450.0470.5130.1080.1280.0320.1551.0000.382
Creatinine_Clearance0.1070.0330.405-0.045-0.171-0.228-0.098-0.102-0.1090.004-0.2010.060-0.6430.312-0.314-0.0630.263-0.0110.0070.1500.1610.3821.000

Missing values

2023-03-31T14:30:38.493037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-03-31T14:30:39.187128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

GenderEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMDM_TypeDM_TreatmentSmoking_HistoryLipid_24_CollectedAgeYear_DM_DiagnosedDM_DurationHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsHbA1C_Admission_ValueCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
011100112234252.02003.010.085.293.06.5207.6425.2121.11426.374112.21
100000110070173.01999.612.875.060.07.0006.2005.3801.85020.00024.12
204000112251164.02002.010.0117.085.011.9308.0825.4002.24033.29063.60
300000012291056.01988.024.082.085.04.4007.1004.7001.30031.220114.24
400000100071078.01998.813.890.090.06.2005.6004.1101.11019.56027.55
512000100071154.02007.45.475.091.04.0005.6005.2002.20023.05092.37
602000000071054.02001.610.890.093.07.9347.8805.1081.50023.81073.42
702000000071163.02004.67.4100.088.06.6427.6806.5002.50028.30095.53
810000112282162.02000.012.050.0107.07.7007.6004.0601.15027.18078.88
910000012240159.02002.010.0110.097.07.4528.0007.7403.91025.24070.21
GenderEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMDM_TypeDM_TreatmentSmoking_HistoryLipid_24_CollectedAgeYear_DM_DiagnosedDM_DurationHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsHbA1C_Admission_ValueCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
404610000112211174.01987.025.088.092.610.8008.3005.1401.1028.4156.50
404714100100070076.01998.613.6140.070.05.4206.4604.8381.2625.7134.66
404815201112281161.01993.020.087.090.04.2007.4005.1002.5029.7650.65
404902000102231056.02004.08.062.0115.07.2008.1007.4402.3233.12109.82
405010100112282141.02006.07.0106.079.08.4409.8705.9001.9027.9788.77
405112000112251175.02001.011.098.092.07.5008.8004.6702.2223.5145.28
405210020012280156.01996.015.0120.093.07.90011.6006.6601.5329.3983.77
405314000002280155.02006.07.0109.072.09.20011.6003.9500.8022.8489.61
405412000100071177.02002.89.6100.085.09.4407.1746.7100.6522.0431.00
405512000112290173.01987.025.0100.0117.09.0487.0304.1001.7729.0167.36